Hardware-Efficient Attention for Fast Decoding
Fuente:
arXiv
Saved in:
| Main Authors: | Zadouri, Ted, Strauss, Hubert, Dao, Tri |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling
by: Zadouri, Ted, et al.
Published: (2026)
by: Zadouri, Ted, et al.
Published: (2026)
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
by: Cai, Tianle, et al.
Published: (2024)
by: Cai, Tianle, et al.
Published: (2024)
Gated Linear Attention Transformers with Hardware-Efficient Training
by: Yang, Songlin, et al.
Published: (2023)
by: Yang, Songlin, et al.
Published: (2023)
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
by: Chen, Hao Mark, et al.
Published: (2024)
by: Chen, Hao Mark, et al.
Published: (2024)
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
by: Yang, Lijie, et al.
Published: (2024)
by: Yang, Lijie, et al.
Published: (2024)
AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware Platforms
by: Chen, Feiyang, et al.
Published: (2025)
by: Chen, Feiyang, et al.
Published: (2025)
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
by: Fan, Zehao, et al.
Published: (2025)
by: Fan, Zehao, et al.
Published: (2025)
SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining
by: Zhang, Yifan, et al.
Published: (2026)
by: Zhang, Yifan, et al.
Published: (2026)
FutureFill: Fast Generation from Convolutional Sequence Models
by: Agarwal, Naman, et al.
Published: (2024)
by: Agarwal, Naman, et al.
Published: (2024)
Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
by: Shyam, Vasudev, et al.
Published: (2024)
by: Shyam, Vasudev, et al.
Published: (2024)
Attention Is All You Need for KV Cache in Diffusion LLMs
by: Nguyen-Tri, Quan, et al.
Published: (2025)
by: Nguyen-Tri, Quan, et al.
Published: (2025)
EntmaxKV: Support-Aware Decoding for Entmax Attention
by: Duarte, Gonçalo, et al.
Published: (2026)
by: Duarte, Gonçalo, et al.
Published: (2026)
BitDelta: Your Fine-Tune May Only Be Worth One Bit
by: Liu, James, et al.
Published: (2024)
by: Liu, James, et al.
Published: (2024)
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
by: Yuan, Jingyang, et al.
Published: (2025)
by: Yuan, Jingyang, et al.
Published: (2025)
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
by: Ren, Liliang, et al.
Published: (2025)
by: Ren, Liliang, et al.
Published: (2025)
Recurrent Drafter for Fast Speculative Decoding in Large Language Models
by: Cheng, Yunfei, et al.
Published: (2024)
by: Cheng, Yunfei, et al.
Published: (2024)
Faster Transformer Decoding: N-gram Masked Self-Attention
by: Chelba, Ciprian, et al.
Published: (2020)
by: Chelba, Ciprian, et al.
Published: (2020)
Mixture of Attentions For Speculative Decoding
by: Zimmer, Matthieu, et al.
Published: (2024)
by: Zimmer, Matthieu, et al.
Published: (2024)
Fast Multipole Attention: A Scalable Multilevel Attention Mechanism for Text and Images
by: Kang, Yanming, et al.
Published: (2023)
by: Kang, Yanming, et al.
Published: (2023)
BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design
by: Ding, Yifu, et al.
Published: (2026)
by: Ding, Yifu, et al.
Published: (2026)
FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acceleration
by: Jo, Dongwon, et al.
Published: (2025)
by: Jo, Dongwon, et al.
Published: (2025)
Speculative Speculative Decoding
by: Kumar, Tanishq, et al.
Published: (2026)
by: Kumar, Tanishq, et al.
Published: (2026)
Entropic-Time Inference: Self-Organizing Large Language Model Decoding Beyond Attention
by: Kiruluta, Andrew
Published: (2026)
by: Kiruluta, Andrew
Published: (2026)
VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMs
by: Goel, Raghavv, et al.
Published: (2025)
by: Goel, Raghavv, et al.
Published: (2025)
ParallelSpec: Parallel Drafter for Efficient Speculative Decoding
by: Xiao, Zilin, et al.
Published: (2024)
by: Xiao, Zilin, et al.
Published: (2024)
Progressive Mixed-Precision Decoding for Efficient LLM Inference
by: Chen, Hao Mark, et al.
Published: (2024)
by: Chen, Hao Mark, et al.
Published: (2024)
Cascade Reward Sampling for Efficient Decoding-Time Alignment
by: Li, Bolian, et al.
Published: (2024)
by: Li, Bolian, et al.
Published: (2024)
Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
by: Qiu, Quantong, et al.
Published: (2026)
by: Qiu, Quantong, et al.
Published: (2026)
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
by: Huang, Yanwen, et al.
Published: (2025)
by: Huang, Yanwen, et al.
Published: (2025)
Is More Data Worth the Cost? Dataset Scaling Laws in a Tiny Attention-Only Decoder
by: Wiegand, Götz-Henrik, et al.
Published: (2026)
by: Wiegand, Götz-Henrik, et al.
Published: (2026)
A2SF: Accumulative Attention Scoring with Forgetting Factor for Token Pruning in Transformer Decoder
by: Jo, Hyun-rae, et al.
Published: (2024)
by: Jo, Hyun-rae, et al.
Published: (2024)
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
by: You, Haoran, et al.
Published: (2024)
by: You, Haoran, et al.
Published: (2024)
What Makes a Reward Model a Good Teacher? An Optimization Perspective
by: Razin, Noam, et al.
Published: (2025)
by: Razin, Noam, et al.
Published: (2025)
Decoding Speculative Decoding
by: Yan, Minghao, et al.
Published: (2024)
by: Yan, Minghao, et al.
Published: (2024)
Kimi Linear: An Expressive, Efficient Attention Architecture
by: Kimi Team, et al.
Published: (2025)
by: Kimi Team, et al.
Published: (2025)
Multipole Attention for Efficient Long Context Reasoning
by: Hooper, Coleman, et al.
Published: (2025)
by: Hooper, Coleman, et al.
Published: (2025)
Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference
by: Zhou, Xuwen, et al.
Published: (2026)
by: Zhou, Xuwen, et al.
Published: (2026)
Fast Large Language Model Collaborative Decoding via Speculation
by: Fu, Jiale, et al.
Published: (2025)
by: Fu, Jiale, et al.
Published: (2025)
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
by: Wang, Hanrui, et al.
Published: (2020)
by: Wang, Hanrui, et al.
Published: (2020)
Sparse Query Attention (SQA): A Computationally Efficient Attention Mechanism with Query Heads Reduction
by: Filipek, Adam
Published: (2025)
by: Filipek, Adam
Published: (2025)
Similar Items
-
FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling
by: Zadouri, Ted, et al.
Published: (2026) -
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
by: Cai, Tianle, et al.
Published: (2024) -
Gated Linear Attention Transformers with Hardware-Efficient Training
by: Yang, Songlin, et al.
Published: (2023) -
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
by: Chen, Hao Mark, et al.
Published: (2024) -
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
by: Yang, Lijie, et al.
Published: (2024)